Results 11 to 20 of about 133,441 (345)

Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications [PDF]

open access: yesAgronomy, 2020
The use of satellites to monitor crops and support their management is gathering increasing attention. The improved temporal, spatial, and spectral resolution of the European Space Agency (ESA) launched Sentinel-2 A + B twin platform is paving the way to
Joel Segarra   +3 more
doaj   +6 more sources

Super-resolving multiresolution images with band-independant geometry of multispectral pixels [PDF]

open access: yesarXiv, 2016
A new resolution enhancement method is presented for multispectral and multi-resolution images, such as these provided by the Sentinel-2 satellites. Starting from the highest resolution bands, band-dependent information (reflectance) is separated from information that is common to all bands (geometry of scene elements).
Brodu, Nicolas
arxiv   +7 more sources

BENCHMARK OF MACHINE LEARNING METHODS FOR CLASSIFICATION OF A SENTINEL-2 IMAGE [PDF]

open access: diamond, 2016
Thanks to mainly ESA and USGS, a large bulk of free images of the Earth is readily available nowadays. One of the main goals of remote sensing is to label images according to a set of semantic categories, i.e. image classification.
Francesco Pirotti   +2 more
openalex   +3 more sources

Crop growth monitoring through Sentinel and Landsat data based NDVI time-series [PDF]

open access: yesКомпьютерная оптика, 2020
Crop growth monitoring is an important phenomenon for agriculture classification, yield estimation, agriculture field management, improve productivity, irrigation, fertilizer management, sustainable agricultural development, food security and to ...
M.S. Boori   +2 more
doaj   +1 more source

Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data

open access: yesRemote Sensing, 2022
Crop phenology monitoring is a necessary action for precision agriculture. Sentinel-1 and Sentinel-2 satellites provide us with the opportunity to monitor crop phenology at a high spatial resolution with high accuracy.
Md Yeasin   +4 more
doaj   +1 more source

Sen2Cor for Sentinel-2 [PDF]

open access: yesImage and Signal Processing for Remote Sensing XXIII, 2017
In the frame of the Copernicus programme, ESA has developed and launched the Sentinel-2 optical imaging mission that delivers optical data products designed to feed downstream services mainly related to land monitoring, emergency management and security.
Main-Knorn, Magdalena   +5 more
openaire   +3 more sources

A Sentinel-2 Dataset for Uganda [PDF]

open access: yesData, 2021
Earth observation data provide useful information for the monitoring and management of vegetation- and land-related resources. The Framework for Operational Radiometric Correction for Environmental monitoring (FORCE) was used to download, process and composite Sentinel-2 data from 2018–2020 for Uganda.
openaire   +3 more sources

Fusion of Sentinel-2 images [PDF]

open access: yesRemote Sensing of Environment, 2016
Sentinel-2 is a very new programme of the European Space Agency (ESA) that is designed for fine spatial resolution global monitoring. Sentinel-2 images provide four 10 m bands and six 20 m bands. To provide more explicit spatial information, this paper aims to downscale the six 20 m bands to 10 m spatial resolution using the four directly observed 10 m
Peter M. Atkinson   +5 more
openaire   +4 more sources

LEARNING HARMONISED PLEIADES AND SENTINEL-2 SURFACE REFLECTANCES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Abstract. In this paper, we investigate the use of machine-learning techniques in order to produce harmonised surface reflectances between Sentinel-2 and Pleiades images, and reduce the impact of the differences in sensors, view conditions, and atmospheric correction differences between them.
Michel, J., Inglada, J.
openaire   +6 more sources

Deriving Non-Cloud Contaminated Sentinel-2 Images with RGB and Near-Infrared Bands from Sentinel-1 Images Based on a Conditional Generative Adversarial Network

open access: yesRemote Sensing, 2021
Sentinel-2 images have been widely used in studying land surface phenomena and processes, but they inevitably suffer from cloud contamination. To solve this critical optical data availability issue, it is ideal to fuse Sentinel-1 and Sentinel-2 images to
Quan Xiong   +10 more
doaj   +1 more source

Home - About - Disclaimer - Privacy